Evaluation of Sensitivity and Specificity of Acuity 360 Telemedicine Vision Screening System by Binder NR, Bloom JM, Balushian Haftevani M, Duncan S, Lowry NC, Chang TS

“…The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), false-negative rate, and inter-rater agreement were calculated.Results: Compared to in-person clinic examination, the sensitivity, specificity, PPV, NPV, and false-negative rate for the optical coherence tomography (OCT) of optic nerve were 95.8%, 98.5%, 86.8%, 99.6%, 0.39% and for the combined retina examination (OCT of the macula and widefield fundus photography) were 93.4%, 88.5%, 80.2%, 96.4%, 2.19%, respectively. …”
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What is the role of rapid diagnostic tests for COVID-19 IgM/IgG in the pre-operative period of cosmetic plastic surgery? by Rafaela Koehler Zanella, Sibelie Souto Valente, Denis Souto Valente

“…The sensitivity varied from 18.4 to 100%; the positive predictive value between 19.7 and 100%; specificity between 94 and 100%; and the negative predictive value between 20 and 100%. …”
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The value of ultrasonography in predicting the outcomes of simple long bone fractures treated by closed intramedullary nail fixation by Tilak Rommel Pinto, Chiranjeevi Srinivasa Gowda, Anston Vernon Braggs, Kiyana Mirza, Aravinda Hegde K

“…The purpose of this study was to test the validity and efficacy of ultrasonography as an adjunct in the assessment of fracture healing in long bones treated with intramedullary interlocking devices and its predictive value in determining the need for a secondary surgical procedure. …”
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Estimation levels of CTHRC1and some cytokines in Iraqi patients with Rheumatoid Arthritis by Ahmed R. Oleiwi, Ayaid Khadem Zgair

“…The level of CTHRC1 (> 25.385 ng/ml) in combination with the levels of CRP and ACPA provided a good indication of RA prediction with sensitivity = 71.0%, specificity = 100.0%, accuracy = 0.71%, positive predictive value (PPV) = 100.0%, and negative predictive value (NPV) = 46.3%. …”
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The triglyceride-glucose index as a predictor of cardiovascular abnormalities in obese patients by Refaat Fathy Abdelaal, Khaled Mohamed Ali Shehata, Michael Hany Shawky Gerges, Salma Mokhtar Osman

“…The TyG can significantly predict cardiovascular risk (ASCVD risk score) (P < 0.001 and AUC = 0.809) at a cut-off value of > 8.92, with 87.5% sensitivity, 65.79% specificity, 44.7% positive predictive value (PPV), and 94.3% negative predictive value (NPV). …”
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Feasibility of a rapid C-reactive protein chairside point-of-care test for detecting inflammation in exposed dental pulp: a pilot exploratory study by Mohamed Taha Elfezary, Ahmed Safaa Waly, Eman Hamdy Mohamed

“…The test demonstrated an observed sensitivity of 94.3%, specificity of 87.1%, positive predictive value (PPV) of 90.7%, and negative predictive value (NPV) of 91.9%. …”
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Determining Surgeon’s Accuracy in Predicting the Severity of Appendicitis in Children: A Comparison Between Clinical Diagnosis and Intraoperative Findings by Somya Bhatt, Rahul Saxena, Manish Pathak, Kirtikumar J. Rathod, Avinash Jadhav, Shubhalaxmi Nayak, Arvind Sinha

“…Conclusion: Surgeon prediction was compared with intraoperative findings which were statistically significant with P = 0.0004, a sensitivity of 70.59%, and a specificity of 90.91% (accuracy – 82.05%, positive predictive value – 81.24%, and negative predictive value – 84.72%). …”
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Evaluation of diagnostic methods for detection of trichomoniasis in symptomatic women with vaginal discharge by Gargee Mishra, Kavita Gupta, Srujana Mohanty, Subarna Mitra, Arvind Kumar Singh

“…Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for wet mount and Giemsa stain were 100% for each parameter compared to culture; while sensitivity and specificity were calculated as 100% and 98.2% for PCR. …”
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Inflammatory markers including NLR, AFR and SII as prognostic factors in neuroblastoma by Chenglong Zhang, Xiaoyu Wang, Yu Tian, Huizhong Niu, Pengju Zhang, Jianlei Geng

“…NLR and SII had high predictive value for mortality, with ROC AUCs of 0.90 and 0.89, respectively. …”
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Postpericardiotomy syndrome: the role of genetic factors in the pathogenesis of a systemic inflammatory response after open-heart surgery by E. V. Nakatseva, A. L. Runov, M. S. Vonsky

“…Aim. To assess the predictive value of polymorphic variants analyzing of interleukin-6  (IL-6)  gene  in patients  with postpericardiotomy  syndrome  (PPS) during open-heart surgery.Material and methods. …”
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Pre-training heart rate variability as a predictor of Air Force Academy completion. by Yosef Kula, Roy Horosov, Yori Gidron, Aya Ekshtein, Barak Gordon, Zev Iversen, Omer Tehori, Oded Ben-Ari

“…The vagal nerve is a crucial moderator of stress responses, and its activity (indexed by heart rate variability, HRV) reflects psycho-physiological resilience and has been shown to predict performance in various settings. However, its predictive value in pilot training has not been examined. …”
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The Role of Genedrive in Point of Care Method For Hepatitis C Elimination in Hemodialysis Center by Andri Sanityoso Sulaiman, Nuri Dyah Indrasari, Ni Made Hustrini, Desti Rachmani

“…Genedrive HCV assay showed 90.6% sensitivity, 96.8% specificity, 92% negative predictive value, and 97% positive predictive value to detect HCV, 10.36 positive likelihood ratio, and 0.09 negative likelihood ratio. …”
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Automated Identification of Stroke Thrombolysis Contraindications from Synthetic Clinical Notes: A Proof-of-Concept Study by Bing Yu Chen, Fares Antaki, Marco Gonzalez, Ken Uchino, Samer Albahra, Scott Robertson, Sidonie Ibrikji, Eric Aube, Andrew Russman, Muhammad Shazam Hussain

“…Performance was evaluated using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and F1 score. …”
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Results of Automated Retinal Image Analysis for Detection of Diabetic Retinopathy from the Nakuru Study, Kenya. by Morten B Hansen, Michael D Abràmoff, James C Folk, Wanjiku Mathenge, Andrew Bastawrous, Tunde Peto

“…<h4>Main outcome measures</h4>The primary outcomes were sensitivity, specificity, and positive and negative predictive value of IDP versus the human grader as reference standard.…”
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Performance of Microsoft Copilot in the Diagnostic Process of Pulmonary Embolism by Banu Arslan, Mehmet Necmeddin Sutasir, Ertugrul Altinbilek

“…Sensitivity, specificity, positive predictive value, and negative predictive value for discriminating between the combination of low- and intermediate- vs high-risk categories were 34%, 97.1%, 92.3%, and 59.6%, respectively. …”
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Role of urine reagent strips in early diagnosis of meningitis by Preeti Singh, Vijay Kumar Jaiswal, Neha Singh, Anamika Singh Thakur

“…Diagnostic performance was assessed using sensitivity, specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), and accuracy. …”
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Validation study of a novel, rapid, open platform real-time LAMP assay for early diagnosis of pulmonary tuberculosis by Swathy S. Nair, Ria Elza Varghese, Anjana Saji, Anoopkumar Thekkuveettil

“…When compared to Xpert MTB/RIF, rt-LAMP showed a sensitivity of 93.33% (95% CI 83.80–98.15%), a specificity of 98.62% (95% CI 96.51–99.62%), negative predictive value of 98.62% (95% CI 96.52–99.47%), positive predictive value of 93.33% (95% CI 84.07–97.38%). …”
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Detection of obvious death by clinically trained emergency medical dispatchers in a criteria-based dispatch system by Loïc Jaspard, Nicolas Beysard, Fabrice Dami

“…Of the 93 cases judged by dispatchers to be obvious deaths, 80 were confirmed (positive predictive value: 86.0%). Among the 949 patients in whom dispatchers did not suspect obvious death, 694 were resuscitated or not in cardiac arrest (negative predictive value: 73.1%). …”
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Elevated C-reactive protein and D-dimer to predict venous thromboembolism in patients with bladder cancer by Bo Chen, Bo Chen, Tonghe Zhang, Tonghe Zhang, Yisong Wang, Yisong Wang, Zhaoyang Li, Zhaoyang Li, Haoyu Liu, Haoyu Liu, Zhan Jiang, Zhan Jiang, Huitang Yang, Huitang Yang, Yandong Cai, Yandong Cai, Guoju Fan, Guoju Fan, Kaiqiang Wang, Kaiqiang Wang, Hongwei Zhang, Hongwei Zhang, Hailong Hu, Hailong Hu, Yankui Li, Yankui Li

“…Their combined use improves predictive accuracy, and their predictive value may be better in non-infected patients.…”
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МОДЕЛЬ ПО ОЦЕНКЕ РИСКА НАЛИЧИЯ ЛИПОГИПЕРТРОФИЙ У БОЛЬНЫХ САХАРНЫМ ДИАБЕТОМ, ПОЛУЧАЮЩИХ ИНСУЛИНОТЕРАПИЮ... by Н. И. Волкова, И. Ю. Давиденко, Ю. А. Рудакова

“…Therefore, we developed the estimation risk model with good quality and high predictive value for diabetic patients who are under the treatment with insulin.…”
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